Must be based in Vancouver
The role
We're hiring a dedicated data engineer to own the production data platform that our delivery, product, and engineering teams run on; designing integrated, governed data pipelines and delivering automated reporting, AI-assisted workflows, and predictive signals on top of them. You'll write production code, design systems, own CI/CD, and be accountable for the correctness of data that leaders make decisions on.
What you'll do
- Design and operate our cloud data platform: ingestion, transformation, orchestration and serving.
- Integrate data from across the business (delivery tooling, CRM, product telemetry, finance, support and customer feedback systems) with shared identifiers, data contracts and lineage.
- Build automated and continuously refreshed reporting so teams manage by exception rather than chasing status.
- Connect approved AI agents to governed data with structured outputs, provenance, guardrails and human approval in the loop.
- Build feature pipelines and the MLOps controls behind predictive use cases: tests, versioning, promotion gates and drift monitoring.
- Own the engineering standards for data: testing, observability, environment promotion, PII classification and access control.
What you'll bring
- Strong software engineering fundamentals: production-quality code, API and interface design, testing discipline, systems design.
- Real experience building and operating production data platforms on a cloud warehouse or lakehouse (Snowflake and AWS preferred) with dbt and a modern orchestrator.
- Practical AI tooling experience: something shipped, not prototyped. LLM-backed classification, extraction or structured-output pipelines; agent and tool-calling workflows; retrieval; evals.
- You can reason about cost, latency, failure modes and when not to use a model.
- Sound governance judgement: data quality, observability, lineage, versioned contracts, auditability, PII handling.
- CI/CD and DataOps: automated testing, release gates, infrastructure automation, rollback.
- Comfort working directly with engineering, product, finance and security stakeholders.
Nice to have
- Feature stores and MLOps tooling: serving and monitoring models in production
- Experience working with and designing MCP Servers
- Experience with BI platforms and semantic layers
- You already use AI coding tools as part of how you work
About Us
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster.
Learn more at diligent.com or follow us on LinkedIn and Facebook
What Diligent Offers You
- Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
- We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place.
Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and US EEOC’s Know Your Rights. We are a drug free workplace.
We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected].
Skills Required
- Strong software engineering fundamentals, including production-quality code, API and interface design, testing, and systems design
- Experience building and operating production data platforms on a cloud warehouse or lakehouse
- Experience with dbt and a modern data orchestrator
- Practical experience shipping AI tooling, including LLM-backed classification, extraction, structured-output pipelines, agent workflows, tool calling, retrieval, or evaluations
- Ability to evaluate model cost, latency, failure modes, and appropriate use cases
- Experience with data quality, observability, lineage, versioned contracts, auditability, and PII handling
- Experience with CI/CD, DataOps, automated testing, release gates, infrastructure automation, and rollback
- Ability to collaborate with engineering, product, finance, and security stakeholders
- Experience with Snowflake and AWS
- Experience with feature stores and MLOps tooling for production model serving and monitoring
- Experience designing or working with MCP Servers
- Experience with BI platforms and semantic layers
- Use of AI coding tools in software development
Diligent Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Diligent and has not been reviewed or approved by Diligent.
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Healthcare Strength — Healthcare coverage includes comprehensive medical, dental, and vision options. Wellness programs are also highlighted as part of the package.
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Retirement Support — Retirement offerings include a 401(k) with employer match in the U.S. and regional plans internationally. This structure underscores support for long-term savings.
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Leave & Time Off Breadth — Time off is framed as flexible with “unlimited PTO” and periodic recharge weeks in some areas. Parental leave is also promoted within the global package.
Diligent Insights
What We Do
Diligent is the leading GRC SaaS provider, serving nearly 1 million users from 25,000 organizations around the world. Our software enables holistic and informed conversations about governance, risk and compliance and ensures CEOs, CFOs and the board have an integrated view of audit, risk, information security, ethics and compliance from across the organization. Our world-changing idea is to bring technology, insights and confidence to leaders so they can build more effective, equitable, and successful organizations – and create lasting, positive impact on the world. We seek to empower organizations to be better for their stakeholders and communities, for their customers and employees, for their bottom line. Headquartered in New York, Diligent also has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, and Sydney.
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